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pro vyhledávání: '"Chac��n, Jos�� E."'
Autor:
Chac��n, Jos�� E.
The problem of maximizing (or minimizing) the agreement between clusterings, subject to given marginals, can be formally posed under a common framework for several agreement measures. Until now, it was possible to find its solution only through numer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b38e73976a0eedb693f44fd79c8fd17a
Autor:
Chac��n, Jos�� E., Rastrojo, Ana I.
The adjusted Rand index (ARI) is commonly used in cluster analysis to measure the degree of agreement between two data partitions. Since its introduction, exploring the situations of extreme agreement and disagreement under different circumstances ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1dd0fdb688b4566e9af9b020ee018e5
Autor:
Chac��n, Jos�� E., Duong, Tarn
Higher order derivatives of functions are structured high dimensional objects which lend themselves to many alternative representations, with the most popular being multi-index, matrix and tensor representations. The choice between them depends on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21aa75d25579f70c306af2177d57b08
Autor:
Chac��n, Jos�� E.
The misclassification error distance and the adjusted Rand index are two of the most commonly used criteria to evaluate the performance of clustering algorithms. This paper provides an in-depth comparison of the two criteria, aimed to better understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d0e9f13e04779b12d00a0b3a4f5408
Autor:
Chac��n, Jos�� E.
Recently, a number of statistical problems have found an unexpected solution by inspecting them through a "modal point of view". These include classical tasks such as clustering or regression. This has led to a renewed interest in estimation and infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1b6c3faf25c000057f9f37fb31c66f4
Autor:
Chac��n, Jos�� E.
The two most extended density-based approaches to clustering are surely mixture model clustering and modal clustering. In the mixture model approach, the density is represented as a mixture and clusters are associated to the different mixture compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f7c328762e4a0e6e033ff06763403a9
Autor:
Chac��n, Jos�� E.
Despite its popularity, it is widely recognized that the investigation of some theoretical aspects of clustering has been relatively sparse. One of the main reasons for this lack of theoretical results is surely the fact that, whereas for other stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdc42dcc8d068ed1e3267241ce5d07fc
Autor:
Chac��n, Jos�� E., Duong, Tarn
Many developments in Mathematics involve the computation of higher order derivatives of Gaussian density functions. The analysis of univariate Gaussian random variables is a well-established field whereas the analysis of their multivariate counterpar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542b7f5740c85c6a7a8237b048d966aa
Autor:
Chac��n, Jos�� E., Monfort, Pablo
We explore the performance of several automatic bandwidth selectors, originally designed for density gradient estimation, as data-based procedures for nonparametric, modal clustering. The key tool to obtain a clustering from density gradient estimato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b732400b5fc8838a16d9bacb719d25f6
Autor:
Chac��n, Jos�� E.
The problem of finding groups in data (cluster analysis) has been extensively studied by researchers from the fields of Statistics and Computer Science, among others. However, despite its popularity it is widely recognized that the investigation of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb46517caa6dfa6ba9153d78a29a04e